Smart City Gnosys

Smart city article details

Title	Multilayer Perceptron For Activity Recognition Using A Batteryless Wearable Sensor
ID_Doc	38537
Authors	Putra D.N.S.; Yulita I.N.
Year	2019
Published	IOP Conference Series: Earth and Environmental Science, 248, 1
DOI	http://dx.doi.org/10.1088/1755-1315/248/1/012039
Abstract	Smart City is one of the trends around the world today. In order to achieve a smart city environment, we need everything to be connected and to be managed. As one of the aspects that have strong impact on people life is their own activities, a smart city should be accompanied by smart people which could be actualized by using sensors to recognize their activities. In this research, we present and evaluate a method to recognize the gesture of someone leaving bed using RFID device. We use a classification approach in our system to conduct the experiment. The method that we are using is MLP (Multi-Layer Perceptron). By using this method, we got 90.17% of accuracy, which is slightly better than Naive Bayesian that got 84.46% of accuracy. © 2019 IOP Publishing Ltd. All rights reserved.
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